Typical admitted student: A bachelor's degree in engineering, computer science, or related field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, calculus, and physics.

About This Program

This program focuses on the integration of robotics with intelligent systems, teaching theory and techniques for designing innovative machines with a high degree of self-autonomy.

Career Outcomes

Lead as Robotics Engineer in Engineering AI with machine learning expertise

1. Robotics Engineer
2. Mechatronics Systems Designer
3. Autonomous Systems Developer
4. Robotics Research Scientist

What You'll Learn

Design and control intelligent robotic systems for complex tasks
Program robots using AI and machine learning algorithms
Integrate mechatronics components for autonomous operation
Develop perception and manipulation capabilities for real-world interactions

Curriculum Highlights

The 30-credit curriculum consists of nine required courses on perception, intelligence, control, and communication, emphasizing a systems-level approach to robotics engineering and integration.

Top Employers

Top employers include robotics firms like Boston Dynamics, manufacturing leaders such as Siemens and Fanuc, automotive companies like Tesla, and research institutions like NASA.

Admissions

A bachelor's degree in engineering, computer science, or related field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, calculus, and physics.

Application Materials

Statement of Purpose: Required
Letters of Recommendation: 2–3
Resume: Required
Transcripts: Official transcripts required

Academic Requirements

Degree Required: Bachelor's degree
GRE/GMAT: Optional
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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